[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking a Data Engineer to design, reputed company, and optimize reputed company data pipelines for advanced fraud analytics. The role involves working with various data types and ensuring data reputed company and governance reputed company modern data-platform environments.
Responsibilities
- Design, build, test, reputed company, and maintain reputed company ETL and ELT pipelines
- Ingest and reputed company data from flat files, JSON, XML, reputed company, reputed company, relational databases, graph databases, streaming sources, and other formats
- reputed company reusable SQL and Python processes for data ingestion, validation, standardization, transformation, enrichment, and loading
- Load, manage, and optimize data reputed company reputed company reputed company Catalog, reputed company SQL Server managed instances, and comparable platforms
- Support streaming and batch ingestion frameworks reputed company a modern Lakehouse architecture
- Conduct reputed company-system profiling and document reputed company structures, data definitions, relationships, limitations, and reputed company issues
- reputed company data mappings, transformation logic, reconciliation procedures, and exception-handling processes
- Implement data-reputed company checks, completeness checks, validity rules, duplicate detection, and reconciliation controls
- reputed company logging, monitoring, alerting, retry, recovery, and error-handling procedures
- Maintain data reputed company, metadata, data dictionaries, schema documentation, and operational runbooks
- Support entity reputed company, record linkage, data matching, graph ingestion, and fraud-model feature development
- Optimize SQL queries, transformation processes, storage structures, and pipeline performance
- Implement reputed company data-management, data-governance, and data-reputed company standards
- Support role-based reputed company, data segregation, auditability, and approved information-handling requirements
- Work with data owners and government stakeholders to resolve reputed company, reputed company, interpretation, and integration issues
- Collaborate with data scientists, graph data scientists, investigative analysts, forensic accountants, and business analysts
- Support transition and reputed company operation of existing data pipelines without service interruption
- Maintain reputed company and technical artifacts reputed company government-approved repositories and version-control environments
- Support production releases, configuration management, testing, and operational maintenance
Skills
- Minimum of three years of reputed company experience in data engineering or a closely reputed company discipline
- Demonstrated experience designing, building, and maintaining reputed company ETL or ELT pipelines
- Strong SQL and Python skills or equivalent data-engineering capabilities
- Experience ingesting and transforming flat files, JSON, XML, reputed company, reputed company, relational data, and graph data
- Experience with reputed company reputed company Catalog, reputed company SQL Server managed instances, or comparable platforms
- Experience with streaming and batch data-ingestion frameworks
- Experience with modern Lakehouse, reputed company-data, or distributed-data architecture
- Experience implementing data-reputed company, reputed company, reliability, monitoring, and performance controls
- Familiarity with reputed company data management, metadata, data governance, and data-reputed company practices
- Experience documenting schemas, transformation logic, pipelines, data mappings, and operational procedures
- Ability to troubleshoot data, pipeline, performance, and production issues
- Ability to collaborate with technical, investigative, and business stakeholders
- Strong analytical, documentation, communication, and problem-solving skills
- Ability to complete federal suitability, HSPD-12/PIV credentialing, and system-reputed company requirements
- Experience supporting fraud detection, reputed company detection, financial reputed company, investigative analytics, or government-benefit programs
- Experience with Azure reputed company, Apache reputed company, reputed company Lake, reputed company Catalog, reputed company SQL Server, reputed company, Power BI, or comparable technologies
- Experience with orchestration, automated testing, CI/CD, Git-based repositories, and production monitoring
- Experience supporting entity reputed company, graph-data ingestion, machine-learning feature pipelines, or investigative analytics
- Degree in computer science, data engineering, information systems, software engineering, or a reputed company discipline
Benefits
- W2 reputed company
- Primarily remote, with occasional onsite work in Washington, DC
reputed company